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Dynamical systems approach to outlier robust deep neural networks for regression the outputs of the GCP network at the equilibrium, we derive an explicit formula for correcting the learned

XS-схемы: скрытие тактовых оракулов. S operations of a cascade are interpreted as independent round oracles. Determining some input/output pair

Using Data Envelopment Analysis to Evaluate Effectivity: A Scoping Review, SBM, and FDH models, are employed. The selection of input and output variables is crucial and can

Using fuzzy models in machining control system and assessment of sustainability

Analysis of specifications of a cold plasma generator© Research India Publications. The generator of ‘cold’ plasma with adjustable output parameters has

A communication approach to the superposition problem formula: zero level (input) gates associated with variables {x1,... ,xk} (different input gates can

Reversible absorption of weak fields revealed in coherent transients is seen as radiation damping at the output of the medium. The scattered field needs time to develop

Modernized algorithm of neural network initial weighting factors during the diagnosis of diesel engine faults number of training samples, and the dimension of an input and an output vector.

Visual data processing and action control using binary neural network is proposed. The neural network is built on discrete elements with binary input and output with memory cells

Single gamma-photon revival from sandwich absorbers with the incident input field destructively or constructively, giving rise to the well-known dynamical beats

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